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dlai-s2-2023's Introduction

Deep Learning & Applied AI @Sapienza

Course material, 2nd semester a.y. 2022/2023, Dept. of Computer Science

News

  • 11/02/2023: The course website is online. Welcome to DLAI 2022/23! The course will start on Tue 28th February.

Logistics

Lecturer: Prof. Emanuele Rodolà

Assistants: Dr. Antonio Norelli, plus more TBD

When: Tuesdays 13:00--16:00 and Wednesdays 13:00--15:00

Where:

Physical classrooms: Aula Magna Edificio C RM111 (Tuesdays) and Aula Alfa RM062 (Wednesdays)

There is no virtual classroom, and the lectures will not be recorded.

Q & A: We will use a Discord server. More details during the first lessons.

Pre-requisites

Python fundamentals; calculus; linear algebra.

Textbook and reading material

Due to the continuously evolving nature of the topic, there is no fixed textbook as a reference. Specific material in the form of scientific articles and book chapters will be given throughout the lectures.

In addition, here you can find some supplementary course notes.

Grading

Evaluation proceeds according to the following steps:

  • A midterm self-evaluation test (optional, does not concur to the final grade)
  • A final written exam (mandatory, accounts for 60% of the final grade)
  • A project (mandatory, accounts for 40% of the final grade)
  • An oral exam (optional, attributes at most 3 points, added to or subtracted from the final grade)

We may require an oral exam in doubtful cases or whenever necessary.

Here you can find some example sheets of past written exams:

Lectures

Date Topic Reading Code & Data
Tue 28 Feb Introduction slides
Wed 01 Mar Data, features, and embeddings slides ; linear algebra recap ; matrix notes
Tue 07 Mar Tensors [upcoming]
Wed 08 Mar Linear regression, convexity, and gradients slides

dlai-s2-2023's People

Contributors

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